ScienceOne-AI/S1-MMAlign
S1-MMAlign A Large-Scale Multi-Disciplinary Scientific Multimodal Dataset S1-MMAlign is a large-scale, multi-disciplinary multimodal dataset comprising over 15.5 million high-quality image-text pairs derived from 2.5 million open-access scientific papers. Multimodal learning has revolutionized general domain tasks, yet its application in scientific discovery is hindered by the profound semantic gap between complex scientific imagery and sparse textual descriptions. S1-MMAlign aims to… See the full description on the dataset page: https://huggingface.co/datasets/ScienceOne-AI/S1-MMAlign.
| Author / organization | ScienceOne-AI |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.9K (as reported by Hugging Face) |
| Likes | 106 |
| Created | 3 December 2025 |
| Last updated at source | 13 March 2026 |
More from ScienceOne-AI
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.